Neuronlike adaptive elements that can solve difficult learning control problems


It is shown how a system consisting of two neuronlike adaptive elements can solve a difficult learning control problem. The task is to balance a pole that is hinged to a movable cart by applying forces to the cart's base. It is argued that the learning problems faced by adaptive elements that are components of adaptive networks are at least as difficult as… (More)
DOI: 10.1109/TSMC.1983.6313077


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